Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Cybersecurity is the defense against cybercrime for systems linked to the internet, including their technology, application, and content. Enterprises generally hire cyber security specialists to safeguard their private data, preserve workers’ productivity, and boost consumer faith in assets. Based on research carried out, it is noted that, a lot of attacks are taking place leading to loss of data, unauthorized access of systems, disabling of computer functions etc., that affects various organizations such as healthcare, banking, schools, etc., In order to avoid such situations, we have presented a model that provides a secure network by identifying various attacks that can take place based on the data required for the attacker. We have collected various datasets and trained them such a way as to detect an attack based on its features. We have also utilized malware detection using machine learning to classify attacks into malware and non-malware data.
Keywords:
Cyber-security, Assaults, Malware, Non-malware.
Cite Article:
"An efficient model checking based security verification technique in cyber security", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.1581 - 1586, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206233.pdf
Downloads:
000205297
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator